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13 часов назад

Staff Analytics Engineer (Python/SQL)

223 546 - 300 100$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Analytics Engineer (Python/SQL): Designing and implementing curated analytics data products and scalable BI solutions for multiple stakeholder groups with an accent on governed definitions, data modeling, and experimentation. Focus on building semantic layers, analyzing operational and technical challenges, and developing KPI-driven models with Python, SQL, Tableau, MicroStrategy, and Databricks.

Location: United States, San Mateo, CA; telecommuting and/or working from home may be permissible under company policies

Base pay: $223,546–$300,100 per year

Company

hirify.global develops PlayStation hardware, network services, and entertainment experiences for more than 100 million people as a subsidiary of Sony Group Corporation.

What you will do

  • Design and implement curated analytics data products, including gold datasets, with clear ownership, versioning, and governed definitions.
  • Analyze functional and business requirements and develop data modeling strategies.
  • Collaborate with data scientists and engineering groups to ensure accurate data processing.
  • Design and operationalize experiments and KPIs to improve data models and model performance.
  • Develop scalable BI solutions using MicroStrategy and Tableau, from semantic layers and data modeling through reporting.
  • Conduct statistical analyses of operational and technical challenges and provide recommendations based on end-user and partner-team input.

Requirements

  • Master’s degree in Computer Science or a related field, or equivalent.
  • Six years of experience serving as an analytics or business intelligence engineer.
  • Experience with Python, SQL, Tableau, MicroStrategy, and Databricks.
  • Experience performing comprehensive data analysis of functional and business requirements.
  • Experience collaborating with data scientists and engineering groups on accurate data processing.
  • Experience developing data models, operationalizing experiments and KPIs, and evaluating model performance.
  • Experience conducting statistical analyses and developing scalable BI solutions from semantic-layer or data modeling work through reporting.

Culture & Benefits

  • Hybrid working policy; telecommuting and/or working from home may be permitted under company policies.
  • Medical, dental, and vision coverage.
  • Matching 401(k), paid time off, and wellness program.
  • Employee discounts for Sony products.
  • Potential eligibility for a bonus package.
  • Background checks are conducted at the offer stage for new employees.

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